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针对无线传感器网络具有规模大、节点计算能力有限等特点,为提高无线传感器节点的覆盖率,提出一种大数据环境下的传感器网络节点覆盖优化算法。首先将整个无线传感器网络监控区域划分多个子区域,每一子区域采用人工鱼群算法对传感器网络节点覆盖优化问题求解,然后利用Map/Reduce机制对优化结果进行融合,最后采用具体传感器网络节点覆盖实验对性能进行分析,结果表明,本文算法可以有效确保节点对整个监控区域的覆盖,提高了传感器网络节点覆盖率,而且可以保证整个网络的能量更加均衡。
In view of the large scale of wireless sensor networks and the limited computing power of nodes, a node coverage optimization algorithm for sensor networks in big data environment is proposed to improve the coverage of wireless sensor nodes. Firstly, the entire wireless sensor network monitoring area is divided into several sub-areas. Each sub-area uses artificial fish swarm algorithm to solve the sensor network node coverage optimization problem, and then uses Map / Reduce mechanism to fuse the optimization results. Finally, the sensor network node coverage Experimental results show that the proposed algorithm can effectively ensure the coverage of the entire monitoring area and improve the node coverage rate of the sensor network, and can ensure that the energy of the entire network is more balanced.